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InterConnect2017
5118: Java, Node.js and Swift: Which, When and Why
Chris BaileySTSM, Technical Architect Java, Node.js and Swift
Gary Cernosek, Offering ManagerApplication Runtimes & Frameworks
1 1/17/17
6 1/17/17
7 1/17/17
GATEWAY
PUBLIC NETWORK CLOUD NETWORK
Client Devices Application Tier Database Tier
8 1/17/17
9 1/17/17
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Java
JavaScript
10 1/17/17Redmonk Programming Languages Rankings
http://redmonk.com/sogrady/category/programming-languages/
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Java
JavaScript
11 1/17/17Redmonk Programming Languages Rankings
http://redmonk.com/sogrady/category/programming-languages/
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01/08/16
Java
JavaScript
Swi5
12 1/17/17Redmonk Programming Languages Rankings
http://redmonk.com/sogrady/category/programming-languages/
13 1/17/17PopularitY of Programming Language (PYPL)
http://pypl.github.io/PYPL.html
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Runtime Language
18
Scripting LanguageRuntime Language
19
Scripting Language Modern Native LanguageRuntime Language
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Type Safe Type Safe, with InferenceDynamically Typed
Scripting Language Modern Native LanguageRuntime Language
21
Type Safe Type Safe, with InferenceDynamically Typed
Scripting Language Modern Native LanguageRuntime Language
Bytecode and JIT Compiled JIT Compiled Pre-Compiled
22
Type Safe Type Safe, with InferenceDynamically Typed
Garbage Collected
Scripting Language Modern Native LanguageRuntime Language
Garbage Collected Reference Counted
Bytecode and JIT Compiled JIT Compiled Pre-Compiled
23
Type Safe Type Safe, with InferenceDynamically Typed
Concurrent Threaded
Garbage Collected
Scripting Language Modern Native LanguageRuntime Language
Garbage Collected Reference Counted
Single Thread Concurrent Work Pool
Bytecode and JIT Compiled JIT Compiled Pre-Compiled
24
Type Safe Type Safe, with InferenceDynamically Typed
Concurrent Threaded
Garbage Collected
Scripting Language Modern Native LanguageRuntime Language
Garbage Collected Reference Counted
Single Thread Concurrent Work Pool
Bytecode and JIT Compiled JIT Compiled Pre-Compiled
All Platforms All Platforms Apple Platforms and Linux
25
Type Safety
Swift @ IBM
func add(_ a: Int, to b: Int) -> Void { print(a + b) }
Swift Node.js
Swift @ IBM
var add = function (a, b) { console.log(a + b); }
func add(_ a: Int, to b: Int) -> Void { print(a + b) }
Swift Node.js
Swift @ IBM
var add = function (a, b) { console.log(a + b); }
func add(_ a: Int, to b: Int) -> Void { print(a + b) }
Swift Node.js
Swift @ IBM
var add = function (a, b) { console.log(a + b); }
func add(_ a: Int, to b: Int) -> Void { print(a + b) }
Swift Node.js
Swift @ IBM
var add = function (a, b) { console.log(a + b); }
var a = 5; var b = 3;
func add(_ a: Int, to b: Int) -> Void { print(a + b) }
let a = 5 let b = 3
Swift Node.js
Swift @ IBM
var add = function (a, b) { console.log(a + b); }
var a = 5; var b = 3;
add(a, b);
func add(_ a: Int, to b: Int) -> Void { print(a + b) }
let a = 5 let b = 3
add(a, to: b)
Swift Node.js
Swift @ IBM
var add = function (a, b) { console.log(a + b); }
var a = 5; var b = 3;
add(a, b);
func add(_ a: Int, to b: Int) -> Void { print(a + b) }
let a = 5 let b = 3
add(a, to: b)
> swiftc main.swift
Swift Node.js
Swift @ IBM
var add = function (a, b) { console.log(a + b); }
var a = 5; var b = 3;
add(a, b);
> node app.js
func add(_ a: Int, to b: Int) -> Void { print(a + b) }
let a = 5 let b = 3
add(a, to: b)
> swiftc main.swift
> main
Swift Node.js
Swift @ IBM
var add = function (a, b) { console.log(a + b); }
var a = 5; var b = 3;
add(a, b);
> node app.js 8
func add(_ a: Int, to b: Int) -> Void { print(a + b) }
let a = 5 let b = 3
add(a, to: b)
> swiftc main.swift
> main 8
Swift Node.js
Swift @ IBM
var add = function (a, b) { console.log(a + b); }
var a = '5'; var b = 3;
add(a, b);
func add(_ a: Int, to b: Int) -> Void { print(a + b) }
let a = ”5” let b = 3
add(a, to: b)
Swift Node.js
Swift @ IBM
var add = function (a, b) { console.log(a + b); }
var a = '5'; var b = 3;
add(a, b);
func add(_ a: Int, to b: Int) -> Void { print(a + b) }
let a = ”5” let b = 3
add(a, to: b)
> swiftc main.swift
Swift Node.js
Swift @ IBM
var add = function (a, b) { console.log(a + b); }
var a = '5'; var b = 3;
add(a, b);
func add(_ a: Int, to b: Int) -> Void { print(a + b) }
let a = ”5” let b = 3
add(a, to: b)
> swiftc main.swift
> Error line 6: Cannot convert value of type ‘String’ into argument of type ‘Int’
Swift Node.js
Swift @ IBM
var add = function (a, b) { console.log(a + b); }
var a = '5'; var b = 3;
add(a, b);
> node app.js
> 53
func add(_ a: Int, to b: Int) -> Void { print(a + b) }
let a = ”5” let b = 3
add(a, to: b)
> swiftc main.swift > Error line 6: Cannot convert value of type ‘String’ into argument of type ‘Int’
Swift Node.js
Swift @ IBM
console.log('Hello' + + 'World')
Node.js
Swift @ IBM
console.log('Hello' + + 'World')
> 'HelloNaN'
Node.js
Swift @ IBM
console.log('Hello' + + 'World')
> 'HelloNaN'
var x = 3 console.log('5' - x + x)
Node.js
Swift @ IBM
console.log('Hello' + + 'World')
> 'HelloNaN'
var x = 3 console.log('5' - x + x)
> 5
Node.js
Swift @ IBM
console.log('Hello' + + 'World')
> 'HelloNaN'
var x = 3 console.log('5' - x + x)
> 5
var x = 3 console.log('5' + x - x)
Node.js
Swift @ IBM
console.log('Hello' + + 'World')
> 'HelloNaN'
var x = 3 console.log('5' - x + x)
> 5
var x = 3 console.log('5' + x - x)
> 50
Node.js
45
Performance
Runtime cost of dynamic typing
func add(_ a: Int, to b: Int) -> Int { return(a + b) }
Runtime cost of dynamic typing
func add(_ a: Int, to b: Int) -> Int { return(a + b) }
Runtime cost of dynamic typing
func add(_ a: Int, to b: Int) -> Int { return(a + b) }
addi
Runtime cost of dynamic typing
var add = function (a, b) { return(a + b); }
Check type of A
var add = function (a, b) { return(a + b); }
Runtime cost of dynamic typing
Check type of A
String
var add = function (a, b) { return(a + b); }
Check type of A
StringCheck type of B
var add = function (a, b) { return(a + b); }
Check type of A
StringConcatenate Check type of B
String
var add = function (a, b) { return(a + b); }
Check type of A
String
Number
Concatenate Check type of B
String
Convert Number to String
var add = function (a, b) { return(a + b); }
Check type of A
String
Number
Concatenate Check type of B
String
Convert Number to String
Concatenate
var add = function (a, b) { return(a + b); }
Check type of A
StringConcatenate Check type of B
String Number
Number
Convert Number to String
Concatenate
var add = function (a, b) { return(a + b); }
Check type of A
StringConcatenate Check type of B
Check type of B
String Number
Number
Convert Number to String
Concatenate
var add = function (a, b) { return(a + b); }
Check type of A
StringConcatenate Check type of B
Check type of B
StringString Number
Number
Convert Number to String
Concatenate
Convert Number to String
var add = function (a, b) { return(a + b); }
Check type of A
StringConcatenate Check type of B
Check type of B
StringString Number
Number
Convert Number to String
Concatenate
Convert Number to String
Concatenate
var add = function (a, b) { return(a + b); }
Convert Number to StringCheck type of
AStringConcatenate Check type of
BCheck type of
BStringString Number
Number
Convert Number to String
Concatenate
ConcatenateNumber
var add = function (a, b) { return(a + b); }
Check type of A
StringConcatenate
FloatingPoint or Normal
Check type of B
Check type of B
StringString Number
Number
Convert Number to String
Concatenate
ConcatenateNumber
Convert Number to String
var add = function (a, b) { return(a + b); }
Check type of A
StringConcatenate
FloatingPoint or Normal
Float Calculation
Check type of B
Check type of B
StringString
Float
Number
Number
Convert Number to String
Concatenate
ConcatenateNumber
Convert Number to String
var add = function (a, b) { return(a + b); }
Check type of A
StringConcatenate
FloatingPoint or Normal
Normal Add InstructionFloat Calculation
Check type of B
Check type of B
StringString
Float
Number
Number
Convert Number to String
Concatenate
ConcatenateNumber
Convert Number to String
var add = function (a, b) { return(a + b); }
0
2
4
6
8
10
12
14
16
18
Dur
atio
n (s
) (lo
wer
is b
ette
r)
http://benchmarksgame.alioth.debian.org/u64q/performance.php?test=spectralnorm
Typed vs Untyped Performance
4
0
2
4
6
8
10
12
14
16
18
http://benchmarksgame.alioth.debian.org/u64q/performance.php?test=spectralnorm
Typed vs Untyped Performance
Dur
atio
n (s
) (lo
wer
is b
ette
r)
4 4.3
0
2
4
6
8
10
12
14
16
18
http://benchmarksgame.alioth.debian.org/u64q/performance.php?test=spectralnorm
Typed vs Untyped Performance
Dur
atio
n (s
) (lo
wer
is b
ette
r)
4 4.3
15.8
0
2
4
6
8
10
12
14
16
18
http://benchmarksgame.alioth.debian.org/u64q/performance.php?test=spectralnorm
Typed vs Untyped Performance
Dur
atio
n (s
) (lo
wer
is b
ette
r)
0
20
40
60
80
100
120
JSONSerializa2on SingleQuery DataUpdates
TechEmpowerPerformance(%ageofbest-higherisbe0er)
More Computation
More I/O
0
20
40
60
80
100
120
JSONSerializa2on SingleQuery DataUpdates
TechEmpowerPerformance(%ageofbest-higherisbe0er)
More Computation
More I/O
0
20
40
60
80
100
120
JSONSerializa2on SingleQuery DataUpdates
TechEmpowerPerformance(%ageofbest-higherisbe0er)
More Computation
More I/O
More Computation
More I/O
0
20
40
60
80
100
120
JSONSerializa2on SingleQuery DataUpdates
TechEmpowerPerformance(%ageofbest-higherisbe0er)
72
DeveloperProductivity
0
100
200
300
400
500
600
700
800
900
1000Vo
lum
e of
Cod
e (lo
wer
is b
ette
r)
http://benchmarksgame.alioth.debian.org/u64q/performance.php?test=spectralnorm
Typed vs Untyped Developer Productivity
601
0
100
200
300
400
500
600
700
800
900
1000
http://benchmarksgame.alioth.debian.org/u64q/performance.php?test=spectralnorm
Typed vs Untyped Developer Productivity
Volu
me
of C
ode
(low
er is
bet
ter)
Volu
me
of C
ode
(low
er is
bet
ter)
601
950
0
100
200
300
400
500
600
700
800
900
1000
http://benchmarksgame.alioth.debian.org/u64q/performance.php?test=spectralnorm
Typed vs Untyped Developer Productivity
Volu
me
of C
ode
(low
er is
bet
ter)
Volu
me
of C
ode
(low
er is
bet
ter)
601
950
413
0
100
200
300
400
500
600
700
800
900
1000
http://benchmarksgame.alioth.debian.org/u64q/performance.php?test=spectralnorm
Typed vs Untyped Developer Productivity
Volu
me
of C
ode
(low
er is
bet
ter)
Volu
me
of C
ode
(low
er is
bet
ter)
77
Memory Management
Mem
ory
Heap Size
Mem
ory
Live in-use data(Retained Set)
Heap Size
Mem
ory
Live in-use data(Retained Set)
Heap Size
Temporary Data(Garbage)
Temporary Data(Garbage)
Mem
ory
Live in-use data(Retained Set)
Heap Size
Temporary Data(Garbage)
Temporary Data(Garbage)
Mem
ory
Live in-use data(Retained Set)
Heap Size
Temporary Data(Garbage)
Temporary Data(Garbage)
Mem
ory
Live in-use data(Retained Set)
Heap Size
Temporary Data(Garbage)
Temporary Data(Garbage)
40 to 70%
Mem
ory
Live in-use data(Retained Set)
Heap Size
Temporary Data(Garbage)
Temporary Data(Garbage)
40 to 70%
~2X additional memory for additional performance
0
5
10
15
20
25
30
35
ARC vs Garage Collection
Mem
ory
Usa
ge (M
B)
(low
er is
bet
ter)
http://benchmarksgame.alioth.debian.org/u64q/performance.php?test=spectralnorm
15
0
5
10
15
20
25
30
35
ARC vs Garage Collection
http://benchmarksgame.alioth.debian.org/u64q/performance.php?test=spectralnorm
Mem
ory
Usa
ge (M
B)
(low
er is
bet
ter)
15
32.2
0
5
10
15
20
25
30
35
ARC vs Garage Collection
http://benchmarksgame.alioth.debian.org/u64q/performance.php?test=spectralnorm
Mem
ory
Usa
ge (M
B)
(low
er is
bet
ter)
15
32.2
25.3
0
5
10
15
20
25
30
35
ARC vs Garage Collection
http://benchmarksgame.alioth.debian.org/u64q/performance.php?test=spectralnorm
Mem
ory
Usa
ge (M
B)
(low
er is
bet
ter)
Cloud CostsProvider Type Memory CPUs Cost/month
Amazon EC2 Linux t2.nano 512MB 1 vCPU $4.68
Digital Ocean Standard 512MB 1 Core Processor $5.00
Pivotal Cloud Foundry
App Instance 512MB 4 vCPUs $10.80
Heroku Standard 1x 512MB 1 Share $25.00
IBM Bluemix Instant Runtimes
512MB 4 vCPUs $24.15
Containers 512MB 4 vCPUs $10.22
Cloud CostsProvider Type Memory CPUs Cost/month
Amazon EC2 Linux t2.nano 512MB 1 vCPU $4.68Linux t2.micro 1GB 1 vCPU $9.36
Digital Ocean Standard 512MB 1 Core Processor $5.00Standard 1GB 1 Core Processor $10.00
Pivotal Cloud Foundry
App Instance 512MB 4 vCPUs $10.80App Instance 1GB 4 vCPUs $21.60
Heroku Standard 1x 512MB 1 Share $25.00Standard 2x 1GB 2 Shares $50.00
IBM Bluemix Instant Runtimes
512MB 4 vCPUs $24.15Instant
Runtimes1GB 4 vCPUs $49.35
Containers 512MB 4 vCPUs $10.22Containers 1GB 4 vCPUs $20.59
Cloud CostsProvider Type Memory CPUs Cost/month
Amazon EC2 Linux t2.nano 512MB 1 vCPU $4.68Linux t2.micro 1GB 1 vCPU $9.36Linux t2.small 2GB 1 vCPU $18.72
Digital Ocean Standard 512MB 1 Core Processor $5.00Standard 1GB 1 Core Processor $10.00Standard 2GB 2 Core
Processors$20.00
Pivotal Cloud Foundry
App Instance 512MB 4 vCPUs $10.80App Instance 1GB 4 vCPUs $21.60App Instance 2GB 4 vCPUs $43.20
Heroku Standard 1x 512MB 1 Share $25.00Standard 2x 1GB 2 Shares $50.00
IBM Bluemix Instant Runtimes
512MB 4 vCPUs $24.15Instant
Runtimes1GB 4 vCPUs $49.35
Containers 512MB 4 vCPUs $10.22Containers 1GB 4 vCPUs $20.59
Cloud CostsProvider Type Memory CPUs Cost/month
Amazon EC2 Linux t2.nano 512MB 1 vCPU $4.68Linux t2.micro 1GB 1 vCPU $9.36Linux t2.small 2GB 1 vCPU $18.72
Linux t2.medium 4GB 2 vCPUs $37.44Digital Ocean Standard 512MB 1 Core Processor $5.00
Standard 1GB 1 Core Processor $10.00Standard 2GB 2 Core
Processors$20.00
Pivotal Cloud Foundry
App Instance 512MB 4 vCPUs $10.80App Instance 1GB 4 vCPUs $21.60App Instance 2GB 4 vCPUs $43.20
Heroku Standard 1x 512MB 1 Share $25.00Standard 2x 1GB 2 Shares $50.00
IBM Bluemix Instant Runtimes
512MB 4 vCPUs $24.15Instant
Runtimes1GB 4 vCPUs $49.35
Containers 512MB 4 vCPUs $10.22Containers 1GB 4 vCPUs $20.59
93
Full Stack Development
94 1/17/17
95
Unless it is absolutely necessary to run Java in web browsers, disable it as described below, even after updating to 7u11. This will help mitigate other Java vulnerabilities that may be discovered in the future.
This and previous Java vulnerabilities have been widely targeted by attackers, and new Java vulnerabilities are likely to be discovered. To defend against this and future Java vulnerabilities, consider disabling Java in web browsers…
96
Unless it is absolutely necessary to run Java in web browsers, disable it as described below, even after updating to 7u11. This will help mitigate other Java vulnerabilities that may be discovered in the future.
This and previous Java vulnerabilities have been widely targeted by attackers, and new Java vulnerabilities are likely to be discovered. To defend against this and future Java vulnerabilities, consider disabling Java in web browsers…
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•Reuse of code components •Write One Run Anywhere
•Sharing of data models •Less maintenance
•Server-side rendering •Pre-Initialise UI on the server •Improves first paint time •Enables search indexing
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+
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+
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+
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+
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+
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Which, Where, When?
110
Node.js SwiftJava
111
High Processing Performance
Transaction Processing Frameworks
Node.js SwiftJava
Type Safety for Calculations
112
High Processing Performance
Transaction Processing Frameworks
Node.js SwiftJava
Type Safety for Calculations
Business Logic Performance Critical
Batch Processing
113
High Processing Performance High IO Performance
Transaction Processing Frameworks
Node.js SwiftJava
Fullstack Web Development
Type Safety for Calculations Async Programming for Scale
Business Logic Performance Critical
Batch Processing
114
High Processing Performance High IO Performance
Transaction Processing Frameworks
Node.js SwiftJava
Fullstack Web Development
Type Safety for Calculations Async Programming for Scale
Business Logic Performance Critical
Batch Processing
Delivery Tier Enterprise Modernisation
115
High Processing Performance High IO Performance
Transaction Processing Frameworks
Node.js SwiftJava
Fullstack Web Development
Type Safety for Calculations Async Programming for Scale ?Business Logic
Performance Critical Batch Processing
Delivery Tier Enterprise Modernisation
116
Emerging Architectures
117 1/17/17
GATEWAY
PUBLIC NETWORK CLOUD NETWORK
Client Devices Application Tier Database Tier
118 1/17/17
GATEWAY
PUBLIC NETWORK CLOUD NETWORK
Client Devices Service Tier Database Tier
119 1/17/17
GATEWAY
PUBLIC NETWORK CLOUD NETWORK
Client Devices Service Tier Database TierDelivery Tier
120 1/17/17
GATEWAY
PUBLIC NETWORK CLOUD NETWORK
Client Devices Service Tier Hosted ServicesDelivery Tier
121 1/17/17
GATEWAY
PUBLIC NETWORK CLOUD NETWORK
Client Devices Hosted ServicesDelivery Tier
ROUTING PROXY
Micro-Services
122 1/17/17
GATEWAY
PUBLIC NETWORK CLOUD NETWORK
Client Devices Hosted ServicesDelivery Tier
ROUTING PROXY
Micro-Services
123 1/17/17
GATEWAY
PUBLIC NETWORK CLOUD NETWORK
Client Devices Hosted ServicesDelivery Tier
ROUTING PROXY
Micro-Services
124 1/17/17
GATEWAY
PUBLIC NETWORK CLOUD NETWORK
Client Devices Hosted ServicesDelivery Tier
ROUTING PROXY
Micro-Services
125 1/17/17
GATEWAY
PUBLIC NETWORK CLOUD NETWORK
Client Devices Hosted ServicesDelivery Tier
ROUTING PROXY
Micro-Services
API Team
126 1/17/17
GATEWAY
PUBLIC NETWORK CLOUD NETWORK
Client Devices Hosted ServicesDelivery Tier
ROUTING PROXY
Micro-Services
API Team
Web Team
Android Team
iOS Team
127
Server Side Rendering
First Paint Time
Search Engine Optimisation
Network Payload Size
CPU Usage
Request Frequency
Battery UsageMemory Usage
128
129
130
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GATEWAY
PUBLIC NETWORK CLOUD NETWORK
Client Devices Hosted ServicesDelivery Tier
ROUTING PROXY
Micro-Services
API Team
Web Team
Android Team
iOS Team
132 1/17/17
GATEWAY
PUBLIC NETWORK CLOUD NETWORK
Client Devices Hosted ServicesDelivery Tier
ROUTING PROXY
Micro-Services
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GATEWAY
PUBLIC NETWORK CLOUD NETWORK
Client Devices Hosted ServicesDelivery Tier
ROUTING PROXY
Micro-Services
134 1/17/17
GATEWAY
PUBLIC NETWORK CLOUD NETWORK
Client Devices Hosted ServicesDelivery Tier
ROUTING PROXY
Micro-Services
135 1/17/17
GATEWAY
PUBLIC NETWORK CLOUD NETWORK
Client Devices Hosted Services
ROUTING PROXY
Micro-ServicesBackend For Frontend(BFF)
136
Project Generation Infra
Local PluginBl
uem
ix CL
I
Bluemix Dashboard
1. Starts with…
Bluemix
Codes …
Check in to…
App
DevOps Open Toolchains
Github
Kicks off…
Builds & Deploys…
Project Plugin
Developer
Calls …Generates …
Source Code
IDE Orion, VSCode, Atom,
Xcode…
Autoscale Logmet BAM
Integrates with …
Provisions …
Local ContainerLocal container generation and management Local build and debug
Project scaffolding SDK gen Service provisioning API Model generation Swagger generation
137
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http://developer.ibm.com/cloud-native
Bluemix Mobile & Omni-Channel!BMO-6321: Patterns in Omni-Channel Cloud Application Development
Containers & Microservices!BMC-2173: Introduction to Docker Containers and Microservices
Visit the DevZone in the Concourse for open Hello World labs and Ask Me Anything booths!
Wednesday, 11:15 AM - 12:00 PM | South Pacific C | Session ID: 6321A
Tuesday, 4:45 PM - 5:30 PM | South Pacific A | Session ID: 2173A
Tuesday, 11:00 AM - 12:45 PM | DevZone Ask Me Anything # 2 | Session ID: 7087AAsk Me Anything: Bluemix Cloud-Native Development
Ask Me Anything: Server-Side Swift DevelopmentWednesday, 2:30 PM - 5:00 PM | DevZone Ask Me Anything # 6 | Session ID: 7088A
Node.js & LoopBackBAP-1117: Introduction to LoopBackNode.js Framework
Liberty & MicroservicesBAP - 5081: Microservices with IBM WebSphere Liberty:What, Why and When?
Wednesday, 11:15 AM - 12:00 PM | Islander F | Session ID: 1117A
Tuesday, 7:00 PM - 7:20 PM | Engagement Theater Booth #319 | Session ID: 5081A
143
Questions?
144 1/17/17
Please noteIBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice at IBM’s sole discretion.
Information regarding potential future products is intended to outline our general product direction and it should not be relied on in making a purchasing decision.
The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Information about potential future products may not be incorporated into any contract.
The development, release, and timing of any future features or functionality described for our products remains at our sole discretion.
Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon many factors, including considerations such as the amount of multiprogramming inthe user’s job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve results similar to those stated here.
145 1/17/17
Notices and disclaimersCopyright © 2017 by International Business Machines Corporation (IBM). No part of this document may be reproduced or transmitted in any form without written permission from IBM.
U.S. Government Users Restricted Rights — use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM.
Information in these presentations (including information relating to products that have not yet been announced by IBM) has been reviewed for accuracy as of the date of initial publication and could include unintentional technical or typographical errors. IBM shall have no responsibility to update this information. This document is distributed “as is” without any warranty, either express or implied. In no event shall IBM be liable for any damage arising from the use of this information, including but not limited to, loss of data, business interruption, loss of profit or loss of opportunity. IBM products and services are warranted according to the terms and conditions of the agreements under which they are provided.
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Performance data contained herein was generally obtained in a controlled, isolated environments. Customer examples are presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual performance, cost, savings or other results in other operating environments may vary.
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Notices and disclaimers continuedInformation concerning non-IBM products was obtained from the suppliers of those products, their published announcements or other publicly available sources. IBM has not tested those products in connection with this publication and cannot confirm the accuracy of performance, compatibility or any other claims related to non-IBM products. Questions on the capabilities of non-IBM products should be addressed to the suppliers of those products. IBM does not warrant the quality of any third-party products, or the ability of any such third-party products to interoperate with IBM’s products. IBM expressly disclaims all warranties, expressed or implied, including but not limited to, the implied warranties of merchantability and fitness for a particular, purpose.
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